Ratings and Reviews for Applied Text Mining in Python

I have been working through the entire specialization, Applied Data Science with Python. The first two courses of this specialization had a lot of attention to detail, the assignments were well laid out and challenging, and the addition resources linked by the instructor were really helpful. Moreover, the lectures themselves were more engaging and segmented. This course was less informative than the other courses I've taken in this specialization. You would be much better off purchasing the O'Reilly Text Analysis in Python book and reading through it in more detail prior to taking this course or in-between lectures.

Good course with notebooks to try out

Professor was great and gave engaging and interesting lectures but the course materials were lacking both in maintenance and definitley could have been more in depth. However, one of the mentors (Uwe) was very helpful in his forum posts which made some of the deficiencies in the assignments less of an issue for me. Thanks Uwe!

Amazing

Excellent course for someone like me who is ambitious and aspires to gain knowledge on new things. The videos can be made bit more elaborate, seems to be rushing towards the end.

A lot of self-learning. The assignment is challenging, but well designed! The forum is the key to understand the Computer science writing style in the assignment :)

Good course to take although I felt the course could have been better in terms of practice. But overall, would recommend to others if they wish to pursue data analysis.

Unless the instructional staff updates the programming assignments to reflect updates in packages and ensures they can run without additions, do not take this course. It is a terrible reflection on the University of Michigan.

Nice course for beginners

I think the course need a better speaker and more notebook hours to be enhanced.